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Azure Data Factory vs Unifi comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Cloud Data Warehouse (2nd)
Unifi
Ranking in Data Integration
57th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
2
Ranking in other categories
Data Governance (46th), Data Preparation Tools (10th)
 

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of Azure Data Factory is 7.4%, down from 11.9% compared to the previous year. The mindshare of Unifi is 0.3%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.
Doug Isabelle - PeerSpot reviewer
Good management and pricing but not great for enterprise environments
In a high-density location, we're running into connectivity drops. There may be too many rouge devices broadcasting, and the devices is getting interference from another channel. The only to fix this is to reboot and we need something that reboots on the fly. We also need better security for VLANs and VPNs. There are issues with certain Apple devices. Technical support is not very helpful. The initial setup, which seemed straightforward at first, had to be redone. This may not have been the fault of the product. We're not sure what went wrong.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The function of the solution is great."
"The solution has a good interface and the integration with GitHub is very useful."
"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"The trigger scheduling options are decently robust."
"The flexibility that Azure Data Factory offers is great."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"The scalability of the product is impressive."
"The solution can scale very easily."
"The controller makes it easy to control everything from one platform. The management is easy."
"It's easy to manage and support the user, our guests, and our customers if they have a problem."
 

Cons

"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."
"Data Factory's performance during heavy data processing isn't great."
"Some prebuilt data source or data connection aspects are generic."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
"It can improve from the perspective of active logging. It can provide active logging information."
"Real-time replication is required, and this is not a simple task."
"There are performance issues, particularly with the underlying compute, which should be configurable."
"There are issues with certain Apple devices."
"It's stable, but it depends on the office and location."
 

Pricing and Cost Advice

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."
"Pricing appears to be reasonable in my opinion."
"I would rate Data Factory's pricing nine out of ten."
"Data Factory is affordable."
"Product is priced at the market standard."
"Data Factory is expensive."
"It's not particularly expensive."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"There is no license. The solution is free."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Government
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
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Overview

 

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
Big Incites, Cloudera, Flywheel Data, Hortonworks, MapR, Platfora, Qlik, Tableau Software, zData Inc.
Find out what your peers are saying about Azure Data Factory vs. Unifi and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.